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TMC
2010
137views more  TMC 2010»
15 years 5 days ago
A Metric for DISH Networks: Analysis, Implications, and Applications
—In wireless networks, node cooperation has been exploited as a data relaying mechanism for decades. However, the wireless channel allows for much richer interaction among nodes....
Tie Luo, Vikram Srinivasan, Mehul Motani
PPSN
2010
Springer
14 years 11 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
16 years 6 months ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
ICDE
2005
IEEE
120views Database» more  ICDE 2005»
16 years 3 months ago
SNAP: Efficient Snapshots for Back-in-Time Execution
SNAP is a novel high-performance snapshot system for object storage systems. The goal is to provide a snapshot service that is efficient enough to permit "back-in-time" ...
Liuba Shrira, Hao Xu
ICCD
2004
IEEE
87views Hardware» more  ICCD 2004»
15 years 10 months ago
Fetch Halting on Critical Load Misses
As the performance gap between processors and memory systems increases, the CPU spends more time stalled waiting for data from main memory. Critical long latency instructions, suc...
Nikil Mehta, Brian Singer, R. Iris Bahar, Michael ...
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